La recerca s'articula en dues línies amb els objectius que es detallen a continuació.

Percepció i Manipulació:
1. Enllaçar percepció i acció utilitzant mètodes geomètrics i estadístics per al modelatge de l'entorn i del propi robot, per a la planificació de tasques i moviments, i per a l'aprenentatge.
2. Aprofundir en l'aprenentatge per reforçament i en l'aprenentatge per demostració, en particular el "mestratge", com a base per a la interacció entre robots, humans i l'entorn.

Cinemàtica i Disseny de Robots:
3. Trobar mètodes generals i complets per a l'anàlisi i la planificació de moviments lliures de col·lisió de mecanismes.
4. Desenvolupar noves estructures mecàniques, preferentment robots paral·lels i robots basats en estructures "tensegrity".
5. Incrementar i millorar l'expertesa del grup en l'àrea del disseny mecànic

http://futur.upc.edu/ROBiri


La investigación se articula en dos líneas con los objectivos que se detallan a continuación.

Percepción y Manipulación:
1. Enlazar percepción y acción utilitzando métodos geométricos y estadísticos para el modelado del entorno y del propio robot, para la planificación de tareas y movimientos, y para el aprendizaje.
2. Profundizar en el aprendizaje por refuerzo y en el aprendizaje por demostración, en particular el entrenamiento, como base para la interacción entre robots, humanos y el entorno.

Cinemática y Diseño de Robots:
3. Encontrar métodos generales y completos para análisis y planificación de movimientos libres de colisión.
4. Desarrollar nuevas estructuras mecánicas, preferentmente robots paralelos y robots "tensegrity".
5. Incrementar y mejorar la competencia del grupo en el área del diseño mecánico.

http://futur.upc.edu/ROBiri


Research is organized in two lines with the following goals.

Perception and Manipulation:
1. Linking perception and action using geometric and statistic methods for modelling the environment and the robot, for task and motion planning, and for learning.
2. Deepening on reinforcement learning and in learning by demonstration, in particular "coaching", as a basis for the interaction of robots, humans and the environtment.

Kinematics and Robot Design:
3. Finding general and complete methods for the analysis of mechanisms and for planning collision-free motions.
4. Developing new mechanical structures, especially parallel robots and robots based on tensegrity structures.
5. Increasing and enhancing the expertise of the group in the area of mechanical design.

http://futur.upc.edu/ROBiri


Research is organized in two lines with the following goals.

Perception and Manipulation:
1. Linking perception and action using geometric and statistic methods for modelling the environment and the robot, for task and motion planning, and for learning.
2. Deepening on reinforcement learning and in learning by demonstration, in particular "coaching", as a basis for the interaction of robots, humans and the environtment.

Kinematics and Robot Design:
3. Finding general and complete methods for the analysis of mechanisms and for planning collision-free motions.
4. Developing new mechanical structures, especially parallel robots and robots based on tensegrity structures.
5. Increasing and enhancing the expertise of the group in the area of mechanical design.

http://futur.upc.edu/ROBiri

Enviaments recents

  • GANimation: anatomically-aware facial animation from a single image 

    Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2018)
    Text en actes de congrés
    Accés obert
    Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis. The most successful architecture is StarGAN, that conditions GANs' generation process with ...
  • Joining high-level symbolic planning with low-level motion primitives in adaptive HRI: application to dressing assistance 

    Canal Camprodon, Gerard; Pignat, Emmanuel; Alenyà Ribas, Guillem; Calinon, Sylvain; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés obert
    For a safe and successful daily living assistance, far from the highly controlled environment of a factory, robots should be able to adapt to ever-changing situations. Programming such a robot is a tedious process that ...
  • Deep lidar CNN to understand the dynamics of moving vehicles 

    Vaquero Gómez, Víctor; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés obert
    Perception technologies in Autonomous Driving are experiencing their golden age due to the advances in Deep Learning. Yet, most of these systems rely on the semantically rich information of RGB images. Deep Learning solutions ...
  • Dimensionality reduction in learning Gaussian mixture models of movement primitives for contextualized action selection and adaptation 

    Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Article
    Accés obert
    Robotic manipulation often requires adaptation to changing environments. Such changes can be represented by a certain number of contextual variables that may be observed or sensed in different manners. When learning and ...
  • Deformable motion 3D reconstruction by union of regularized subspaces 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Text en actes de congrés
    Accés obert
    This paper presents an approach to jointly retrieve camera pose, time-varying 3D shape, and automatic clustering based on motion primitives, from incomplete 2D trajectories in a monocular video. We introduce the concept ...
  • "Elbows out": predictive tracking of partially occluded pose for robot-assisted dressing 

    Chance, Greg; Jevtic, Aleksandar; Caleb-Solly, Praminda; Alenyà Ribas, Guillem; Torras, Carme; Dogramadzi, Sanja (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Article
    Accés obert
    Robots that can assist in the Activities of Daily Living (ADL), such as dressing, may support older adults, addressing the needs of an aging population in the face of a growing shortage of care professionals. Using depth ...
  • Database for 3D human pose estimation from single depth images 

    Arduengo García, Miguel; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (2016)
    Report de recerca
    Accés obert
    This work is part of the project I-­-DRESS (Assistive interactive robotic system for support in dressing). The specific objective is the detection of human body postures and the tracking of their movements. To this end, ...
  • Deciding the different robot roles for patient cognitive training 

    Andriella, Antonio; Alenyà Ribas, Guillem; Hernández Farigola, Joan; Torras, Carme (2018-09-01)
    Article
    Accés restringit per política de l'editorial
    Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI) represent a major challenge for health systems within the aging population. New and better instruments will be crucial to assess the disease severity and ...
  • Breakingnews: article annotation by image and text processing 

    Ramisa Ayats, Arnau; Yan, Fei; Moreno-Noguer, Francesc; Mikolajczyk, Krystian (Institute of Electrical and Electronics Engineers (IEEE), 2018-05-01)
    Article
    Accés obert
    Building upon recent Deep Neural Network architectures, current approaches lying in the intersection of Computer Vision and Natural Language Processing have achieved unprecedented breakthroughs in tasks like automatic ...
  • Teaching a robot the semantics of assembly tasks 

    Savarimuthu, Thiusius Rajeeth; Anders, Buch; Schlette, Christian; Wantia, Nils; Rossmann, Jürgen; Martinez Martinez, David; Alenyà Ribas, Guillem; Torras, Carme; Ales, Ude; Bojan, Nemec; Aljaž, Kramberger; Worgotter, Florentin; Eren Erdal, Aksoy; Papon, Jeremie; Haller, Simon; Piater, Justus; Krüger, Norbert (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Article
    Accés obert
    We present a three-level cognitive system in a learning by demonstration context. The system allows for learn- ing and transfer on the sensorimotor level as well as the planning level. The fundamentally different data ...
  • A scalable, efficient, and accurate solution to non-rigid structure from motion 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2018)
    Article
    Accés obert
    Most Non-Rigid Structure from Motion (NRSfM) solutions are based on factorization approaches that allow reconstructing objects parameterized by a sparse set of 3D points. These solutions, however, are low resolution and ...
  • Robot motion adaptation through user intervention and reinforcement learning 

    Jevtic, Aleksandar; Colomé Figueras, Adrià; Alenyà Ribas, Guillem; Torras, Carme (Elsevier, 2018-04-01)
    Article
    Accés obert
    Assistant robots are designed to perform specific tasks for the user, but their performance is rarely optimal, hence they are required to adapt to user preferences or new task requirements. In the previous work, the potential ...

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